Thankfully the new functionality is being achieved through new options for the existing pie chart, which means that those new features are available in R via googleVis as well, without the need of writing new code.
Doughnut chart example
With the German election coming up soon, here is the composition of the current parliament.
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dat <- data.frame(party=c("CDU", "FDP", "CSU", "SPD", | |
"The Left", "The Greens"), | |
members.of.parliament=c(193, 93, 44, | |
146, 76, 68)) | |
library(googleVis) | |
## Doughnut chart - a pie with a hole | |
doughnut <- gvisPieChart(dat, | |
options=list( | |
width=500, | |
height=500, | |
slices="{0: {offset: 0.2}, | |
1: {offset: 0.2}, | |
2: {offset: 0.2}}", | |
title='German parliament 2009 - 2013 | |
(Goverment: CDU/FDP/CSU)', | |
legend='none', | |
colors="['black','orange', 'blue', | |
'red', 'purple', 'green']", | |
pieSliceText='label', | |
pieHole=0.5), | |
chartid="doughnut") | |
plot(doughnut) |
Session Info
R version 3.0.1 (2013-05-16)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] googleVis_0.4.5
loaded via a namespace (and not attached):
[1] RJSONIO_1.0-3 tools_3.0.1